Primary hyperoxaluria type 1 diagnosis in adult dialysis patients: prediction model assessment in a group of Italian patients.

IF 2.7 4区 医学 Q2 UROLOGY & NEPHROLOGY
Pietro Manuel Ferraro, Eloisa Arbustini, Diego Bellino, Chiara Caletti, Irene Capelli, Giovanna Capolongo, Maria Rosa Caruso, Paola Cianfrone, Maria Michela D'Alessandro, Marina Di Luca, Giovanni Gambaro, Alessandra Palmisano, Andrea Ranghino, Gaia Santagostino Barbone, Francesca Viazzi, Loretta Zambianchi, Giorgia Mandrile
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Abstract

Background: To increase the diagnostic rate of primary hyperoxaluria type 1 (PH1) in the adult dialysis setting, a prediction model based on five readily available clinical parameters was recently developed and validated in an adult hemodialysis population. To further test the prediction model in clinical practice, this case series describes the retrospective application of the diagnostic algorithm in a group of adult dialysis patients with PH1 treated at different Italian nephrology centers.

Methods: Between January and May 2023, adult patients (≥ 18 years) undergoing chronic hemodialysis with a genetic diagnosis of PH1, followed at 14 Italian nephrology centers, were selected for the retrospective application of the prediction model.

Results: The presence of at least one red flag of the diagnostic algorithm was reported in most patients (14 out of 15; 93%), two red flags were present in four patients (27%), and three red flags in two patients (13%). A history of active nephrolithiasis was the most common clinical feature (87% of patients), followed by early dialysis initiation, nephrocalcinosis and a family history of CKD (20-27%).

Conclusions: Our study provides further evidence on the real-world application of a simple algorithm, implemented by easily accessible clinical parameters, to be used as a screening tool for diagnosing PH1 in adult patients undergoing dialysis. The successful implementation of this prediction model has the potential to facilitate timely diagnosis, improve patient outcomes, and inform targeted therapeutic interventions in this patient setting.

成人透析患者原发性高草酸尿1型诊断:一组意大利患者的预测模型评估
背景:为了提高成人透析中原发性高草酸尿1型(PH1)的诊断率,最近建立了一个基于五个现成临床参数的预测模型,并在成人血液透析人群中进行了验证。为了在临床实践中进一步检验该预测模型,本病例系列描述了该诊断算法在意大利不同肾病中心治疗的一组成年PH1透析患者中的回顾性应用。方法:选择2023年1月至5月期间,在意大利14个肾科中心接受慢性血液透析且遗传诊断为PH1的成年患者(≥18岁)进行回顾性应用预测模型。结果:大多数患者报告至少存在一个诊断算法的危险信号(15例中的14例;93%), 4名患者(27%)出现2个危险信号,2名患者(13%)出现3个危险信号。活动性肾结石史是最常见的临床特征(87%的患者),其次是早期透析开始、肾钙质沉着症和CKD家族史(20-27%)。结论:我们的研究进一步证明了一种简单算法在现实世界中的应用,该算法通过易于获取的临床参数实现,可作为诊断成人透析患者PH1的筛查工具。该预测模型的成功实施有可能促进及时诊断,改善患者预后,并为该患者提供有针对性的治疗干预措施。
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来源期刊
Journal of Nephrology
Journal of Nephrology 医学-泌尿学与肾脏学
CiteScore
5.60
自引率
5.90%
发文量
289
审稿时长
3-8 weeks
期刊介绍: Journal of Nephrology is a bimonthly journal that considers publication of peer reviewed original manuscripts dealing with both clinical and laboratory investigations of relevance to the broad fields of Nephrology, Dialysis and Transplantation. It is the Official Journal of the Italian Society of Nephrology (SIN).
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